Creative Agents: Simulating the Systems Model of Creativity with Generative Agents
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
With the growing popularity of generative AI for images, video, and music, we witnessed models rapidly improve in quality and performance. However, not much attention is paid towards enabling AI's ability to "be creative". In this study, we implemented and simulated the systems model of creativity (proposed by Csikszentmihalyi) using virtual agents utilizing large language models (LLMs) and text prompts. For comparison, the simulations were conducted with the "virtual artists" being: 1)isolated and 2)placed in a multi-agent system. Both scenarios were compared by analyzing the variations and overall "creativity" in the generated artifacts (measured via a user study and LLM). Our results suggest that the generative agents may perform better in the framework of the systems model of creativity.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 9 of its 16 references that are in the map. First posted on arXiv 26 Nov 2024.
Builds on
9 of 16 references.
Closest ancestors · 1
Same direction, newest first
Other references · 8
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2022Generative Adversarial Networkscited by 5,603
- 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,243
- 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
- 2019Plug and Play Language Models: A Simple Approach to Controlled Text Generationcited by 793
- 2018DeSIGN: Design Inspiration from Generative Networkscited by 20
Built on by
Citing papers per year: 2025: 1.
1 paper.
- 2025Creativity in LLM-based Multi-Agent Systems: A Surveycited by 23
- 2025Creativity in LLM-based Multi-Agent Systems: A Survey27 May 2025
Similar, not cited
Close in wording, no citation either way
- 2026On the Creativity of AI Agents
- 2026Creativity in AI as Emergence from Domain-Limited Generative Models
- 2024Automating Creativity
- 2023Creative Agents: Empowering Agents with Imagination for Creative Tasks
- 2025Stable diffusion models reveal a persisting human and AI gap in visual creativity
- 2025E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
- 2026Multi-agent AI systems outperform human teams in creativity
- 2025The Spark Effect: On Engineering Creative Diversity in Multi-Agent AI Systems